🤖 Multi-Agent Coordination & Workflow Engine - Advanced AI Orchestration System

examples/multi-agent-coordinator/Dockerfile

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+# Multi-Agent Coordination System Dockerfile
+
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    gcc \
+    g++ \
+    git \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create necessary directories
+RUN mkdir -p /app/data /app/logs
+
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV PYTHONUNBUFFERED=1
+
+# Expose port
+EXPOSE 8000
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD python -c "import asyncio; from main import MultiAgentCoordinator; \
+    async def check(): \
+        coordinator = MultiAgentCoordinator(); \
+        await coordinator.initialize(); \
+        health = await coordinator.monitoring_system.health_check(); \
+        await coordinator.shutdown(); \
+        exit(0 if health['status'] == 'healthy' else 1); \
+    asyncio.run(check())" || exit 1
+
+# Default command
+CMD ["python", "main.py"]
+